R: Pupation and Hatching rate in a feeding experiment with four...
Feeding
R Documentation
Pupation and Hatching rate in a feeding experiment with four varieties
Description
Larvae of a non-target organism were fed with plant material derived from a novel variety(Novum),
material from three standard varieties (NStandard: the standard variety most similar to Novum,
and two additional standard varieties S1 and S2). Objective was to assess the impact of Novum on the pupation and hatching rate of an animal that potentially feeds on plant material compared to accepted standard varieties.
Usage
data(Feeding)
Format
A data frame with 32 observations on the following 5 variables.
Rep
a factor with 32 levels indexing the 32 replications
Variety
a factor with 4 levels: S1 and S2 are two standard varieties, Novum is a novel variety, and NStandard is the standard variety most similar to Novum
Total
the total number of animals in each experimental unit
Pupating
number of individuals pupating in each unit, the others died
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
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> library(BSagri)
Loading required package: gamlss
Loading required package: splines
Loading required package: gamlss.data
Loading required package: gamlss.dist
Loading required package: MASS
Loading required package: nlme
Loading required package: parallel
********** GAMLSS Version 4.4-0 **********
For more on GAMLSS look at http://www.gamlss.org/
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Loading required package: multcomp
Loading required package: mvtnorm
Loading required package: survival
Attaching package: 'survival'
The following object is masked from 'package:gamlss.data':
leukemia
Loading required package: TH.data
Attaching package: 'TH.data'
The following object is masked from 'package:MASS':
geyser
Loading required package: MCPAN
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/BSagri/Feeding.Rd_%03d_medium.png", width=480, height=480)
> ### Name: Feeding
> ### Title: Pupation and Hatching rate in a feeding experiment with four
> ### varieties
> ### Aliases: Feeding
> ### Keywords: datasets
>
> ### ** Examples
>
> data(Feeding)
>
> # Larval mortality:
>
> Feeding$Lmort <- Feeding$Total - Feeding$Pupating
>
> fit1<-glm(cbind(Pupating,Lmort)~Variety,data=Feeding, family=quasibinomial)
> anova(fit1, test="F")
Analysis of Deviance Table
Model: quasibinomial, link: logit
Response: cbind(Pupating, Lmort)
Terms added sequentially (first to last)
Df Deviance Resid. Df Resid. Dev F Pr(>F)
NULL 31 59.623
Variety 3 3.3623 28 56.260 0.6478 0.5909
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> dev.off()
null device
1
>